aadd7d651389f213aaf33b08ab6f533a3ecc59db,cellprofiler/modules/correctilluminationcalculate.py,CorrectIlluminationCalculate,apply_scaling,#CorrectIlluminationCalculate#Any#Any#,711

Before Change

        
        if self.rescale_option == cps.NO:
            return image
        pixel_data = image.pixel_data
        if image.has_mask:
            sorted_pixel_data = pixel_data[np.logical_and(pixel_data>0,
                                                          image.mask)]
        else:
            sorted_pixel_data = pixel_data[pixel_data > 0]
        if sorted_pixel_data.shape[0] == 0:

After Change

            if robust_minimum == 0:
                return pixel_data
            return pixel_data / robust_minimum
        if image.pixel_data.ndim == 2:
            output_pixels = scaling_fn_2d(image.pixel_data)
        else:
            output_pixels = np.dstack([
                scaling_fn_2d(x) for x in image.pixel_data.transpose(2, 0, 1)])
        output_image = cpi.Image(output_pixels, parent_image = orig_image)
        return output_image
    
    def validate_module(self, pipeline):

Instances